Essentials of Metaheuristics (Sean Luke)

 
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Essentials of Metaheuristics (Sean Luke)

Inquisitive about the Genetic set of rules? Simulated Annealing? Ant Colony Optimization? This e-book covers those and other metaheuristics algorithms and is meant for undergraduate students, programmers, and non-specialists. It also covers an extensive range of algorithms, representations, choice and modification operators, and associated topics, and consists of seventy-one figures and one hundred thirty-five algorithms outstanding and small.

Metaheuristics are a not unusual but unfortunate name for any stochastic optimization set of rules intended to be the remaining lodge earlier than giving up and the use of random or brute-force search. Such algorithms are used for problems in which you don't know how to find an accurate answer, but if shown a candidate answer, you can deliver it a grade. The algorithmic own family consists of genetic algorithms, hill-climbing, simulated annealing, ant colony optimization, particle swarm optimization, and so forth.

This ebook is an open set of lecture notes on metaheuristics algorithms, supposed for undergraduate college students, practitioners, programmers, and different non-specialists. It was developed as a chain of lecture notes for an undergraduate path I taught at GMU. The chapters are designed to be printable one at a time if important. because of its lecture notes, the subjects are quick and mild on examples and principles. it is best while complementing other texts. With time, I'd remedy this.

Algorithms encompass: Gradient Ascent strategies, Hill-climbing editions, Simulated Annealing, Tabu seek variants, Iterated local search, Evolution techniques, the Genetic algorithm, the regular-country Genetic algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and two-populace aggressive Coevolution, N-population Cooperative Coevolution, Implicit fitness Sharing, Deterministic Crowding, Nga-Ii, Spea2, draw close, Ant Colony Optimization versions, Guided local seek, Lem, Phil, Umda, CGA, Boa, Samuel, Zcs, Xs, and CSF.

Ebook Details

Author(s)
Publisher
Published
Published Date / Year
2nd Edition (June 21, 2013); eBook (Creative Commons Licensed, Version 2.2)
License(s)
CC BY-ND 3.0 US
Hardcover
242 pages
eBook Format
PDF (263 pages)
ISBN-10
1300549629
ISBN-13
978-1300549628

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